Brainstorming data quality needs within the Dataset Usage Vocabulary.

Question:  Does the following help clarify/confuse the quality needs from
the Dataset Usage Vocabulary perspective?


I'm not sure if anyone from the Data Quality Vocabulary was on the call on
the second day of F2F3 when we discussed the Data Usage Vocabulary topic.


I think there were some important points that were made:

1) The "Data Usage Vocabulary" had been changed to the "Dataset Usage
Vocabulary".


2) This name change was done with the intention to focus our efforts on
providing a vocabulary at the DCAT:Dataset level only.


3) By focusing efforts at the DCAT:Dataset level it allowed us to avoid the
seemingly endless are we talking data or dataset discussions.  Most
importantly it allowed us to talk about DCAT:Dataset has being a logical
container for a "set of data".



My hope is that this might simply how we build bridges between the Dataset
Usage Vocabulary and the Data Quality Vocabulary.


Below are listed some tangible minimal quality related requirements for
DCAT:Dataset Usage:


* Consumer DCAT:Dataset usage should be tracked by metrics such as a
counter.

* Consumers should be able to provide feedback on overall DCAT:Dataset
quality

* Consumers should be rated for their qualifications when commenting on
DCAT:Dataset.

* Metrics should be used to rate consumer acceptability for a DCAT:Dataset.

             -   Boolean metrics should be used to indicate overall
approval/disapproval.

             -  Integer scale metrics should be used to indicate levels of
acceptability.

* Metrics should be used to rate qualifications of consumer providing
opinions about a DCAT:Dataset


I welcome more ideas for requirements, but these requirements do illustrate
the data quality needs of the Dataset Usage Vocabulary.


I look forward to your thoughts and ideas,


Eric S